Staff Data Engineer

This position is posted by Jobgether on behalf of Taskrabbit. We are currently looking for a Staff Data Engineer in California (USA) and New York (USA).

Join a remote-first team where data is at the heart of every decision. In this role, you'll lead the development and optimization of the company’s data infrastructure, helping shape the architecture and data models that empower teams across engineering, product, operations, and analytics. You'll work closely with cross-functional stakeholders to translate business needs into scalable data solutions. This is a highly impactful position where technical leadership, mentorship, and collaboration are key to driving a culture of data excellence.

Accountabilities:

• Design, build, and maintain scalable and reliable ELT pipelines using tools such as dbt, Airflow, and Fivetran.
• Develop robust data models, semantic layers, and data marts to enable self-service analytics across the organization.
• Lead architectural decisions and influence the evolution of the company’s data platform for scalability and maintainability.
• Partner with non-technical stakeholders to understand business needs and deliver clear, actionable metrics and analytics tools.
• Champion best practices in data quality, documentation, observability, and data governance.
• Mentor team members and promote excellence across data engineering and analytics functions.
• Maintain orchestration workflows and ensure real-time and batch data processes meet performance expectations.

• 7+ years of experience in data engineering, with deep knowledge of modern data stack tools like dbt, Airflow, and Snowflake (or equivalents).
• Strong SQL skills and proficiency in at least one programming language such as Python, Java, or Scala.
• Expertise in building and maintaining cloud data warehouses and data pipelines to support analytical and operational workloads.
• Solid background in data modeling (dimensional/star/snowflake schemas) and experience with BI tools like Looker, Tableau, or Mode.
• Familiarity with streaming platforms (Kafka, Kinesis) and DevOps tools like Terraform for infrastructure-as-code.
• Ability to work cross-functionally and translate complex business requirements into scalable data solutions.
• A collaborative mindset, strong communication skills, and a track record of mentoring peers in data best practices.

• Base salary range: $136,000 – $180,000, plus bonus and equity components.
• Remote-first company with flexibility to work from anywhere in California or New York.
• Generous paid time off, including two company-wide closure weeks annually.
• Employer-paid health insurance and 401(k) match with immediate vesting (U.S. employees).
• Wellness, productivity, and education stipends; IKEA discounts and product stipends.
• Inclusive culture with leadership committed to equity, representation, and allyship.
• Opportunities for growth and impact within a collaborative and purpose-driven environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

#LI-CL1